M. Srinivas - researchr alias

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2024

RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News DetectionU. Shivani Sri Varshini, Rayanoothala Praneetha Sree, M. Srinivas, R. B. V. Subramanyam. tcss, 11(2):2418-2432, April 2024. [doi]

2023

2022

Giraffe kicking optimization algorithm provides efficient routing mechanism in the field of vehicular ad hoc networksAradhana Behura, M. Srinivas, Manas Ranjan Kabat. jaihc, 13(8):3989-4008, 2022. [doi]

Credit Card Fraud Detection Using Hybrid LearningAradhana Behura, M. Srinivas. icccnt 2022: 1-7 [doi]

2021

Automate Allocation of Secure Slice in Future Mobile Networks using Machine LearningMuddu Krishnama Naidu Immadisetti, Murukessan A. P, M. Srinivas. icccnt 2021: 1-7 [doi]

2019

Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning TechniquesM. Srinivas, Akshay Nayak, Abhishek Bhatt. clef 2019: [doi]

2017

Learning deep and sparse feature representation for fine-grained object recognitionM. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao. icmcs 2017: 1458-1463 [doi]

Deep dictionary learning for fine-grained image classificationM. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao. icip 2017: 835-839 [doi]

2016

Sparsity-inducing dictionaries for effective action classificationDebaditya Roy, M. Srinivas, C. Krishna Mohan. PR, 59:55-62, 2016. [doi]

Classification of medical images using edge-based features and sparse representationM. Srinivas, C. Krishna Mohan. icassp 2016: 912-916 [doi]

Discriminative feature extraction from X-ray images using deep convolutional neural networksM. Srinivas, Debaditya Roy, C. Krishna Mohan. icassp 2016: 917-921 [doi]

2015

2014

2010

Efficient clustering approach using incremental and hierarchical clustering methodsM. Srinivas, C. Krishna Mohan. ijcnn 2010: 1-7 [doi]

1998

Analyzing the Individual/Combined Effects of Speculative and Guarded Execution on a Superscalar ArchitectureM. Srinivas, Alexandru Nicolau. ipps 1998: 199-208 [doi]

1996

On modeling genetic algorithms for functions of unitationM. Srinivas, Lalit M. Patnaik. tsmc, 26(6):809-821, 1996. [doi]

Genetic Search: Analysis Using Fitness MomentsM. Srinivas, Lalit M. Patnaik. tkde, 8(1):120-133, 1996. [doi]

On Generating Optimal Signal Probabilities for Random Tests: A Genetic ApproachM. Srinivas, L. M. Patnaik. vlsi, 4(3):207-215, 1996. [doi]

1994

Genetic Algorithms: A SurveyM. Srinivas, Lalit M. Patnaik. Computer, 27(6):17-26, 1994.

Adaptive probabilities of crossover and mutation in genetic algorithmsM. Srinivas, Lalit M. Patnaik. tsmc, 24(4):656-667, 1994.

1993

A Simulation-Based Test Generation Scheme Using Genetic AlgorithmsM. Srinivas, Lalit M. Patnaik. vlsid 1993: 132-135

Binomially Distributed Populations for Modelling GAsM. Srinivas, Lalit M. Patnaik. icga 1993: 138-145

1992

Enhanced region scheduling on a program dependence graphV. H. Allen, J. Janardhan, R. M. Lee, M. Srinivas. euromicro 1992: 72-80 [doi]

An ASIC for High Performance Stepper Motor ControlK. V. S. H. Rao, A. Kansal, Chandra Shekhar, M. Srinivas, V. N. S. N. Rao. vlsid 1992: 328-329 [doi]

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